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Artificial Intelligence Methods for Surgical Site Infection: Impacts on Detection, Monitoring, and Decision Making.
Samareh, Aven; Chang, Xiangyu; Lober, William B; Evans, Heather L; Wang, Zhangyang; Qian, Xiaoning; Huang, Shuai.
Afiliación
  • Samareh A; Industrial and Systems Engineering, University of Washington, Seattle, Washington.
  • Chang X; Industrial and Systems Engineering, University of Washington, Seattle, Washington.
  • Lober WB; Center of Data Science and Information Quality, School of Management, Xi'an Jiantong University, Xi'an, China.
  • Evans HL; Department of Biobehavioral Nursing and Health Informatics, University of Washington, Seattle, Washington.
  • Wang Z; Department of Surgery, Medical University of South Carolina, Charleston, South Carolina.
  • Qian X; Department of Computer Science and Engineering, Texas A&M University, College Station, Texas.
  • Huang S; Department of Electrical and Computer Engineering, Texas A&M University, College Station, Texas.
Surg Infect (Larchmt) ; 20(7): 546-554, 2019 Oct.
Article en En | MEDLINE | ID: mdl-31453753
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Infección de la Herida Quirúrgica / Procesamiento de Imagen Asistido por Computador / Inteligencia Artificial / Monitoreo Epidemiológico Tipo de estudio: Diagnostic_studies / Prognostic_studies / Screening_studies Límite: Humans Idioma: En Revista: Surg Infect (Larchmt) Asunto de la revista: BACTERIOLOGIA Año: 2019 Tipo del documento: Article
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Infección de la Herida Quirúrgica / Procesamiento de Imagen Asistido por Computador / Inteligencia Artificial / Monitoreo Epidemiológico Tipo de estudio: Diagnostic_studies / Prognostic_studies / Screening_studies Límite: Humans Idioma: En Revista: Surg Infect (Larchmt) Asunto de la revista: BACTERIOLOGIA Año: 2019 Tipo del documento: Article